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Femila L.,Bethlahem Institute of Engineering | Vijayarangan V.,National Engineering College
Journal of Theoretical and Applied Information Technology | Year: 2014

Cooperative communication (CC) is a competent method to acknowledge the quality of service (QoS) communication in mobile ad hoc networks (MANETs). In MANETs, mobile nodes are generally powerdriven by batteries with limited energy supplies therefore, these networks are commonly known as power constrained. Topology control is to resolve the transmission power nodes so as to increase network connectivity and increase the energy efficiency. To this end, this paper utilizes the CC to link disconnected networks in order to reduce transmission power of nodes with increases network connectivity. In this paper, we propose the energy efficient routing for MANET, which exploits cooperative communication with topology control. Our approach works on physical layer with cooperative communication and proposes two routing algorithms: 1) Non Cooperative Routing scheme (NCR) and 2) Cooperative Routing (CR) scheme. In simulation results, the proposed algorithms are compared with existing methods to prove the efficiency of our proposed method. © 2005 - 2014 JATIT & LLS. All rights reserved.

Jarin T.,Bethlahem Institute of Engineering | Subburaj P.,National Engineering College
Journal of Electrical Engineering and Technology | Year: 2015

A two stage ac drive configuration consisting of a single-phase line commutated rectifier and a three-phase voltage source inverter (VSI) is very common in low and medium power applications. The deterministic pulse width modulation (PWM) methods like sinusoidal PWM (SPWM) could not be considered as an ideal choice for modern drives since they result mechanical vibration and acoustic noise, and limit the application scope. This is due to the incapability of the deterministic PWM strategies in sprawling the harmonic power. The random PWM (RPWM) approaches could solve this issue by creating continuous harmonic profile instead of discrete clusters of dominant harmonics. Insufficient filtering at dc link results in the amplitude distortion of the input dc voltage to the VSI and has the most significant impact on the spectral errors (difference between theoretical and practical spectra). It is obvious that the sprawling effect of RPWM undoubtedly influenced by input fluctuation and the discrete harmonic clusters may reappear. The influence of dc link fluctuation on harmonics and their spreading effect in the VSI remains invalidated. A case study is done with four different filter capacitor values in this paper and results are compared with the constant dc input operation. This paper also proposes an ingenious RPWM, a ripple dosed sinusoidal reference-random carrier PWM (RDSRRCPWM), which has the innate capacity of suppressing the effect of input fluctuation in the output than the other modern PWM methods. MATLAB based simulation study reveals the fundamental component, total harmonic distortion (THD) and harmonic spread factor (HSF) for various modulation indices. The non-ideal dc link is managed well with the developed RDSRRCPWM applied to the VSI and tested in a proto type VSI using the field programmable gate array (FPGA). © The Korean Institute of Electrical Engineers.

Blessy S.A.P.S.,Bethlahem Institute of Engineering
Technology and Health Care | Year: 2015

BACKGROUND: Segmentation of brain tumor from Magnetic Resonance Imaging (MRI) becomes very complicated due to the structural complexities of human brain and the presence of intensity inhomogeneities. OBJECTIVE: To propose a method that effectively segments brain tumor from MR images and to evaluate the performance of unsupervised optimal fuzzy clustering (UOFC) algorithm for segmentation of brain tumor from MR images. METHODS: Segmentation is done by preprocessing the MR image to standardize intensity inhomogeneities followed by feature extraction, feature fusion and clustering. RESULTS: Different validation measures are used to evaluate the performance of the proposed method using different clustering algorithms. The proposed method using UOFC algorithm produces high sensitivity (96%) and low specificity (4%) compared to other clustering methods. CONCLUSIONS: Validation results clearly show that the proposed method with UOFC algorithm effectively segments brain tumor from MR images. © 2015-IOS Press and the authors.

Premal C.E.,Bethlahem Institute of Engineering | Vinsley S.S.,LMC Engineering and Technology
2014 International Conference on Circuits, Power and Computing Technologies, ICCPCT 2014 | Year: 2014

In this paper image processing based forest fire detection using YCbCr colour model is proposed. The proposed method adopts rule based colour model due to its less complexity and effectiveness. YCbCr colour space effectively separates luminance from chrominance compared to other colour spaces like RGB and rgb(normalized RGB). The proposed method not only separates fire flame pixels but also separates high temperature fire centre pixels by taking in to account of statistical parameters of fire image in YCbCr colour space like mean and standard deviation. In this method four rules are formed to separate the true fire region. Two rules are used for segmenting the fire region and other two rules are used for segmenting the high temperature fire centre region. The results obtained are compared with the other methods in the literature and shows higher true fire detection rate and less false detection rate. The proposed method can be used for real time forest fire detection with moving camera. © 2014 IEEE.

Joselin Herbert G.M.,Noorul Islam University | Iniyan S.,Anna University | Amutha D.,Bethlahem Institute of Engineering
Renewable and Sustainable Energy Reviews | Year: 2014

Energy is the prime mover of economic growth and is vital to sustain a modern economic and social development. Renewable energy applications have brought about significant changes in the Indian energy scenario. The identification and efficient use of various renewable energy resources are the thrust areas in energy development. Wind energy is one of the most environment friendly, clean and safe energy resources. The wind energy will continue to be the biggest renewable energy sector in any country in terms of both installed capacity and total potential. This paper reviews some important factors and techniques to be considered for wind turbine installations such as the wind energy resource assessment techniques, environmental factors, grid integration factors, control strategies, impact of offshore wind turbines and hybrid energy technologies, hydrogen production techniques, feed-in tariff mechanism, modeling of wind turbine components including generators, performance improvement techniques. The cost and economic feasibility of the wind energy conversion system as well as the control strategies of wind turbine generators have also been discussed. © 2014 Elsevier Ltd.

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